Integrated AHP-TOPSIS Model for Multi-Level Prioritization of Drug Abuse Risk Indicators: Evidence from Bengkulu Province, Indonesia

Abstract

This study applies an integrated Analytic Hierarchy Process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) model to evaluate multilevel risk factors and regional vulnerability to drug abuse in Bengkulu Province, Indonesia. Expert assessment data were formally obtained from the National Narcotics Board (BNN) of Bengkulu Province under procedures approved by the institutional research ethics committee. Consistency testing confirmed that all pairwise comparison matrices had Consistency Ratio values below 0.1, ensuring logical reliability of the data. The AHP analysis generated weighted risk factors that served as input for the TOPSIS framework. The integrated results identified Rejang Lebong Regency as the most vulnerable area, followed by Bengkulu City, Mukomuko, Lebong, Kepahiang, North Bengkulu, Seluma, South Bengkulu, Kaur, and Central Bengkulu. This integrated model provides an evidence-based decision-making framework to prioritize preventive actions and resource allocation for effective drug control policy and public health risk management.